Browse > Article
http://dx.doi.org/10.7780/kjrs.2017.33.1.1

Analysis of Geometric and Spatial Image Quality of KOMPSAT-3A Imagery in Comparison with KOMPSAT-3 Imagery  

Erdenebaatar, Nyamjargal (Department of Geoinformatic Engineering, Inha University)
Kim, Jaein (Department of Geoinformatic Engineering, Inha University)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.33, no.1, 2017 , pp. 1-13 More about this Journal
Abstract
This study investigates the geometric and spatial image quality analysis of KOMPSAT-3A stereo pair. KOMPSAT-3A is, the latest satellite of KOMPSAT family, a Korean earth observation satellite operating in optical bands. A KOMPSAT-3A stereo pair was taken on 23 November, 2015 with 0.55 m ground sampling distance over Terrassa area of Spain. The convergence angle of KOMPSAT-3A stereo pair was estimated as $58.68^{\circ}$. The investigation was assessed through the evaluation of the geopositioning analysis, image quality estimation and the accuracy of automatic Digital Surface Model (DSM) generation and compared with those of KOMPSAT-3 stereo pair with the convergence angle of $44.80^{\circ}$ over the same area. First, geopositioning accuracy was tested with initial rational polynomial coefficients (RPCs) and after compensating the biases of the initial RPCs by manually collected ground control points. Then, regarding image quality, relative edge response was estimated for manually selected points visible from two stereo pairs. Both of the initial and bias-compensated positioning accuracy and the quality assessment result expressed that KOMPSAT-3A images showed higher performance than those of KOMPSAT-3 images. Finally, the accuracy of DSMs generated from KOMPSAT-3A and KOMPSAT-3 stereo pairs were examined with respect to the reference LiDAR-derived DSM. The various DSMs were generated over the whole coverage of individual stereo pairs with different grid spacing and over three types of terrain; flat, mountainous and urban area. Root mean square errors of DSM from KOMPSAT-3A pair were larger than those for KOMPSAT-3. This seems due to larger convergence angle of the KOMPSAT-3A stereo pair.
Keywords
Digital Surface Model; Geometric Accuracy; Kompsat-3A; Kompsat-3;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Noguchi,M., C.S. Fraser, T. Nakamura, T. Shimono, and S. Oki, 2004. Accuracy assessment of Quick Bird stereo imagery, The Photogrammetric Record, 19(106): 128-137.   DOI
2 Reinartz, P., P. D'Angelo, T. Kraub, D. Poli, K. Jacobsen, and G. Buyuksalih, 2010. Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data, The International Archives of Photogrammetry and Remote Sensing, 38(1): 1-6.
3 Aguilar, M.A., M. Saldana, and F.J. Aguilar, 2014. Generation and quality assessment of Stereo-Extracted DSM from Geo-Eye-1 and WorldView-2 imagery, IEEE Transaction of Geoscience and Remote Sensing, 52(2): 1259-1271.   DOI
4 Baltsavias, E., S. Kocaman, and K. Wolff, 2008. Analysis of Cartosat-1 images regarding image quality, 3D point measurement and DSM generation, The Photogrammetric Record, 23(123): 305-322.   DOI
5 Chen, L.C., T.A. Teo, and C.L. Liu, 2006. The geometrical comparisons of RSM and RFM for FORMASAT-2 satellite images, Photogrammetric Engineering & Remote Sensing. 72(5): 573-580.   DOI
6 Jeong, J., J. Kim, and T. Kim, 2014. Analysis of geolocation accuracy of KOMPSAT-3 imagery, Korean Journal of Remote Sensing, 30(1): 37-45.   DOI
7 Choi, T and D. Helder, 2005. Generic sensor modeling for modulation transfer function (MTF) estimation, Proc. of 2005 ASPRS Pecora 16-Gloval Priorities in Land Remote Sensing, South Dakota, USA, Oct 23-27, Digitally available on CD.
8 Grodecki, J. and G. Dial, 2003. Block adjustment of high-resolution satellite images described by rational polynomials, Photogrammetric Engineering & Remote Sensing, 69: 59-68.   DOI
9 Giribabu, D., P. Kumar, J. Mathew, K.P. Sharma, and Y.V.N.K. Murthy, 2013. DEM generation using Cartosat-1 stereo data: issues and complexities in Himalayan terrain, European Journal of Remote Sensing, 46: 431-443.   DOI
10 Jeong, J., C. Yang, and T. Kim, 2015. Geo-positioning accuracy using multiple-satellite images:IKONOS, QuickBird, and KOMPSAT-2 stereo images, Remote Sensing, 7: 4549-4564.   DOI
11 Jeong, J., C. Yang, and T. Kim, 2016. Quantitative estimation and validation of the effects of the convergence, bisector elevation, and asymmetry angles on the positioning accuracies of satellite stereo pairs, Photogrammetric Engineering & Remote Sensing, 82(8): 625-633.   DOI
12 Jeong, J., J. Kim, T. Kim, and S. Rhee, 2016. Evaluation of the performance of KOMPSAT-3 stereo images in terms of positioning and the generation of digital surface models, Remote Sensing Letters, 7(10): 955-964.   DOI
13 Kim, T. and J. Kim, 2011. Automated assessment of NIIRS and GRD of high resolution satellite images through edge profile analysis of natural targets, Proc. of JACIE 2011 Civil Commerial Imagery Evaluation Workshop, Digitally available on CD.
14 Kim, T. and S. Rhee, 2015. Automated DSM extraction from UAV images and performance analysis, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(1): 351.   DOI